Ding Bo, Fang Huajing
School of Automation, Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, PR China.
School of Automation, Key Laboratory of Image Processing and Intelligent Control, Ministry of Education, Huazhong University of Science and Technology, Wuhan 430074, PR China.
ISA Trans. 2017 May;68:327-334. doi: 10.1016/j.isatra.2017.03.018. Epub 2017 Apr 2.
This paper is concerned with the fault prediction for the nonlinear stochastic system with incipient faults. Based on the particle filter and the reasonable assumption about the incipient faults, the modified fault estimation algorithm is proposed, and the system state is estimated simultaneously. According to the modified fault estimation, an intuitive fault detection strategy is introduced. Once each of the incipient fault is detected, the parameters of which are identified by a nonlinear regression method. Then, based on the estimated parameters, the future fault signal can be predicted. Finally, the effectiveness of the proposed method is verified by the simulations of the Three-tank system.
本文关注具有早期故障的非线性随机系统的故障预测。基于粒子滤波器以及对早期故障的合理假设，提出了改进的故障估计算法，并同时估计系统状态。根据改进的故障估计，引入了一种直观的故障检测策略。一旦检测到每个早期故障，就通过非线性回归方法识别其参数。然后，基于估计的参数，可以预测未来的故障信号。最后，通过三容水箱系统的仿真验证了所提方法的有效性。
